AI Medical Compendium Topic:
Intensive Care Units

Clear Filters Showing 521 to 530 of 609 articles

ExpertNet: A Deep Learning Approach to Combined Risk Modeling and Subtyping in Intensive Care Units.

IEEE journal of biomedical and health informatics
Risk models play a crucial role in disease prevention, particularly in intensive care units (ICUs). Diseases often have complex manifestations with heterogeneous subpopulations, or subtypes, that exhibit distinct clinical characteristics. Risk models...

Global research trends in artificial intelligence for critical care with a focus on chord network charts: Bibliometric analysis.

Medicine
BACKGROUND: The field of critical care-related artificial intelligence (AI) research is rapidly gaining interest. However, there is still a lack of comprehensive bibliometric studies that measure and analyze scientific publications on a global scale....

Predicting the risk of mortality in ICU patients based on dynamic graph attention network of patient similarity.

Mathematical biosciences and engineering : MBE
Predicting the risk of mortality of hospitalized patients in the ICU is essential for timely identification of high-risk patients and formulate and adjustment of treatment strategies when patients are hospitalized. Traditional machine learning method...

[Intelligent intensive care unit makes medicine more accessible].

Zhonghua yi xue za zhi
In the past half century, critical care medicine has made rapid development, and the survival rate of critically ill patients has significantly improved. However, what does not match the rapid development of the specialty is that the infrastructure o...

A Pilot Study of Deep Learning Models for Camera based Hand Hygiene Monitoring in ICU.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Hand hygiene is key to preventing cross-infections in the Intensive Care Unit (ICU). Monitoring of hand washing activities can effectively increase the compliance of clinicians to hand hygiene. In this paper, we explored the feasibility of recognizin...

Real-Time-Capable Muscle Force Estimation for Monitoring Robotic Rehabilitation Therapy in the Intensive Care Unit.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
In this paper, a method is proposed to enable real-time monitoring of muscle forces during robotic rehabilitation therapy in the ICU. This method is solely based on sensor information provided by the rehabilitation robot. In current clinical practice...

Continuous Renal Replacement Therapy: What Have We Learned And What Are Key Milestones For The Years To Come?

Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion
Continuous renal replacement therapy (CRRT) is the main extracorporeal kidney support therapy used in critical ill patients in the intensive care unit (ICU). Since its conceptualization ~50 years ago, there have been major improvements in its technol...

Development and deployment of interpretable machine-learning model for predicting in-hospital mortality in elderly patients with acute kidney disease.

Renal failure
BACKGROUND: Acute kidney injury (AKI) is more likely to develop in the elderly admitted to the intensive care unit (ICU). Acute kidney disease (AKD) affects ∼45% of patients with AKI and increases short-term mortality. However, there are no studies o...

Clinical utility of automatic phenotype annotation in unstructured clinical notes: intensive care unit use.

BMJ health & care informatics
OBJECTIVE: Clinical notes contain information that has not been documented elsewhere, including responses to treatment and clinical findings, which are crucial for predicting key outcomes in patients in acute care. In this study, we propose the autom...

Machine Learning for Acute Kidney Injury Prediction in the Intensive Care Unit.

Advances in chronic kidney disease
Machine learning is the field of artificial intelligence in which computers are trained to make predictions or to identify patterns in data through complex mathematical algorithms. It has great potential in critical care to predict outcomes, such as ...